Abstract 3975: Spatially resolved multi-omics reveal metastatic ecosystem remodeling and immunomodulatory niches in HGSOC

Abstract High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic malignancy. HGSOC spreads within peritoneal cavity via transcoelomic dissemination, and the greater omentum is a frequent site of metastatic tumor deposition. Embedded beneath the omental mesothelium, the fat-associated lymphoid clusters (FALCs, known as milky spots) serve as portals for early peritoneal metastasis. Yet how metastatic ecosystems differ from the primary tumor microenvironment, and are spatially organized around FALCs remains unclear. To address this, we profiled matched primary and metastatic tumor samples from 17 HGSOC patients using single-cell RNA sequencing with paired TCR/BCR profiling and spatial multi-omics including Visium HD spatial transcriptomics, multiplex CODEX imaging and spatial metabolomics. In FALC-rich regions within metastatic lesions, we identify a stereotyped architecture in which small aggregates of B cells and plasma cells are interlaced with CD4+ and CD8+ T cells and dendritic cells. Stromal regions between these FALCs and adjacent tumor border are highly infiltrated by SPP1+C1Q+ macrophages. We show that the B cells in metastasis mainly consist of IgG+ and IgA+ populations, and are class-switched and clonally expanded. Integrating spatial transcriptomics with histology, we found the abundance of the niche enriched for IgA+ B cells associates with worse overall survival using a deep learning framework. Spatial metabolomics mapped spatial metabolic niches and showed that metastases shift toward glycolytic, lipid and phospholipid metabolism, whereas primary tumors retain more oxidative programs. Collectively, our findings provide a spatially resolved atlas of HGSOC metastasis and a foundation for spatially informed biomarker development. Citation Format: Yufeng He, Ce Luo, Yuanguang Meng, Zhe Zhang, Zexian Zeng. Spatially resolved multi-omics reveal metastatic ecosystem remodeling and immunomodulatory niches in HGSOC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3975.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-3975
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 3975: Spatially resolved multi-omics reveal metastatic ecosystem remodeling and immunomodulatory niches in HGSOC

Zexian Zeng, Zheng Zhang, Yufeng He, Ce Luo
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 3975: Spatially resolved multi-omics reveal metastatic ecosystem remodeling and immunomodulatory niches in HGSOC

Zexian Zeng, Zheng Zhang, Yufeng He, Ce Luo
article en

Abstract

Abstract High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic malignancy. HGSOC spreads within peritoneal cavity via transcoelomic dissemination, and the greater omentum is a frequent site of metastatic tumor deposition. Embedded beneath the omental mesothelium, the fat-associated lymphoid clusters (FALCs, known as milky spots) serve as portals for early peritoneal metastasis. Yet how metastatic ecosystems differ from the primary tumor microenvironment, and are spatially organized around FALCs remains unclear. To address this, we profiled matched primary and metastatic tumor samples from 17 HGSOC patients using single-cell RNA sequencing with paired TCR/BCR profiling and spatial multi-omics including Visium HD spatial transcriptomics, multiplex CODEX imaging and spatial metabolomics. In FALC-rich regions within metastatic lesions, we identify a stereotyped architecture in which small aggregates of B cells and plasma cells are interlaced with CD4+ and CD8+ T cells and dendritic cells. Stromal regions between these FALCs and adjacent tumor border are highly infiltrated by SPP1+C1Q+ macrophages. We show that the B cells in metastasis mainly consist of IgG+ and IgA+ populations, and are class-switched and clonally expanded. Integrating spatial transcriptomics with histology, we found the abundance of the niche enriched for IgA+ B cells associates with worse overall survival using a deep learning framework. Spatial metabolomics mapped spatial metabolic niches and showed that metastases shift toward glycolytic, lipid and phospholipid metabolism, whereas primary tumors retain more oxidative programs. Collectively, our findings provide a spatially resolved atlas of HGSOC metastasis and a foundation for spatially informed biomarker development. Citation Format: Yufeng He, Ce Luo, Yuanguang Meng, Zhe Zhang, Zexian Zeng. Spatially resolved multi-omics reveal metastatic ecosystem remodeling and immunomodulatory niches in HGSOC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3975.

Cancer ResearchVol. 86(7_Supplement)
Peking University (CN), Chinese PLA General Hospital (CN)
Life in Land
Openalex Percentile: Top 22%
Single-cell and spatial transcriptomics
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